CoChat
Sign Up
Cited by 345Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyDigital Innovation in Industries

The DOI matches its Crossref record; 137 of the 139 references it cites were found in a registry or an index.

Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field

Schneider, Paul·2018·Review of Managerial Science
DOI 10.1007/s11846-018-0283-2
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1007/s11846-018-0283-2

Cites

137 of 137 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 139 references

Research works printed but not linked: 12

  1. acatech (2011) Cyber-physical systems: driving force for innovation in mobility, health, energy and production. acatech – National Academy of Science and Engineering, München
  2. Economist The (2015) Does Deutschland do digital? Economist 417(8965):59–61
  3. Fitzgerald M (2015) Gone fishing—for data. MIT Sloan Manag Rev 56(3):7
  4. Fleisch E, Gassmann O, Leitl M (2014) Einfach mehr ausprobieren. Harvard Bus Manag 36(5):59–63
  5. Gawer A, Tucci CL (2017) Academy of management specialized conference: big data and managing in a digital economy. Call for Submissions. https://www.eiseverywhere.com/file_uploads/c9d569ffbcdd5694dfa9df76df1d12b6_AOMBigDataCallforSubmissions.pdf . Accessed 22 Aug 2017
  6. Geisberger E, Broy M (2015) Living in a networked world: Integrated research agenda Cyber-Physical Systems. Utz Verlag, Munich
  7. Kagermann H, Lukas W-D, Wahlster W (2011) Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI Nachrichten 2011(13):2
  8. Ross JW, Beath CM, Quaadgras A (2013) You may not need big data after all. Harvard Bus Rev 91(12):90–139
  9. Schein EH (1984) Coming to a new awareness of organizational culture. MIT Sloan Manag Rev 25(2):3–16
  10. Spath D, Ganschar O, Gerlach S, Hämmerle M, Krause T, Schhlund S (2013) Produktionsarbeit der Zukunft—Industrie 4.0. Fraunhofer, Stuttgart
  11. Venkatraman N (1994) IT-enabled business transformation: from automation to business scope redefinition. MIT Sloan Manag Rev 35(2):73–87
  12. Winsborough D, Chamorro-Premuzic T (2016) Talent identification in the digital world: new talent signals and the future of HR assessment. People Strateg 39(2):28–31

Cited by

Sorted by citations

See all 345

Related

Metadata

Authors
Schneider, P.
Affiliations
University of Cologne (DE)
Corresponding author
Schneider, Paul
ORCID
Schneider, Paul
Venue
Review of Managerial Science
Publisher
Springer Science and Business Media LLC
Published
2018-04-20
Volume
12
Issue
3
Pages
803-848
ISSN
  • 1863-6683 (ISSN-L)
  • 1863-6691
DOI
10.1007/s11846-018-0283-2
OpenAlex
W2802944856
Cited by
345
References
139
Citations by year
2026: 8 · 2025: 27 · 2024: 47 · 2023: 55 · 2022: 51 · 2021: 78 · 2020: 46 · 2019: 26 · 2018: 7
FWCI
32.43
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Review of Managerial Science (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
Industry 4.0, management problems, research agenda, planning and implementation, business models, human resources, value creation networks, expert survey, management research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review